Classification of Cervical-Cancer Using Pap-Smear Images: A Convolutional Neural Network Approach

Author:

Taha Bilal,Dias Jorge,Werghi Naoufel

Publisher

Springer International Publishing

Cited by 59 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An automated cervical cancer diagnosis model using Y-net and ensemble deep learning model;International Journal of System Assurance Engineering and Management;2024-08-28

2. Utilising deep learning networks to classify ZEB2 expression images in cervical cancer;British Journal of Hospital Medicine;2024-07-30

3. A Detailed Review on Classification and Risk Factor Analysis of Cervical Cancer using Artificial Intelligence;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

4. Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review;IEEE Access;2024

5. Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model;Lecture Notes in Computer Science;2024

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